Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Are pre-service teachers ready to teach the Alpha generation? The impact of pre-service teachers' ChatGPT literacy levels on behavioral intentions toward ChatGPT-4.0
1
Zitationen
3
Autoren
2025
Jahr
Abstract
This study seeks to enhance our understanding of how pre-service teachers working with the Alpha Generation (PSTAG) interact with the Technology Acceptance Model (TAM) in the context of ChatGPT. It specifically examines their perceptions of ease of use (PEOU), perceived usefulness (PU), and behavioral intention (BI) toward ChatGPT-4o, utilizing an extended version of the TAM. The survey method was used, and 450 PSTAG participated in the current study. Data were collected through a survey including the ChatGPT literacy scale (ChatGPT-LS) and TAM to determine PSTAG’s ChatGPT-4o literacy level and its relationship with PEOU, PU, and BI. Thirteen hypotheses are developed to test the proposed model. All but one of the hypotheses are supported. This study shows that PEOU and PU play a key role in BI’s use of ChatGPT-4o, and the sub-dimensions of the ChatGPT-LS have a statistically significant effect on PEOU and PU. Technical proficiency was found to have no positive effect on PU. It can be suggested that PSTAG’s ChatGPT literacy level should be improved through courses to increase their behavioral intention to use ChatGPT-4o for educational purposes.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.102 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.468 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.